220 citations · 724 across the 45 of their papers we have counts for
5 papers · 1 filter
A Statistical Test for Probabilistic Fairness
Bahar Taskesen, Jose Blanchet, Daniel Kuhn +1
Algorithms are now routinely used to make consequential decisions that affect human lives. Examples include college admissions, medical interventions or law enforcement. While algo…
A Pareto Dominance Principle for Data-Driven Optimization
Tobias Sutter, Bart P. G. Van Parys, Daniel Kuhn
We propose a statistically optimal approach to construct data-driven decisions for stochastic optimization problems. Fundamentally, a data-driven decision is simply a function that…
A Distributionally Robust Approach to Fair Classification
Bahar Taskesen, Viet Anh Nguyen, Daniel Kuhn +1
We propose a distributionally robust logistic regression model with an unfairness penalty that prevents discrimination with respect to sensitive attributes such as gender or ethnic…
Reliable Frequency Regulation through Vehicle-to-Grid: Encoding Legislation with Robust Constraints
Dirk Lauinger, François Vuille, Daniel Kuhn
Problem definition: Vehicle-to-grid increases the low utilization rate of privately owned electric vehicles by making their batteries available to electricity grids. We formulate a…
On Linear Optimization over Wasserstein Balls
Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Wasserstein balls, which contain all probability measures within a pre-specified Wasserstein distance to a reference measure, have recently enjoyed wide popularity in the distribut…